Abstract: The present approach assigns a code to each node class of a data tree modeling a database. The node class codes may be used to generate a node class path for each node class. This class path may be used as a discriminator to reference a given node class or portion of the tree including the class path and may be stored in a field of the database and/or cached. Use of the class path in query operations reduces the complexity of certain queries, thereby speeding up query performance.

Abstract: Altering a database structure based on software updates in a distributed computing system can include identifying a plurality of software updates that include alterations to structural elements in the database structure and identifying, for the plurality of software updates, a plurality of alterations corresponding to a first structural element of the structural elements. A combined alteration can be generated by combining the plurality of alterations. A database statement can be generated for altering the first structural element according to the combined alteration. The database structure can then be updated using the database statement. The structural elements can define logical relationships between data stored in the database structure. The alterations can be expressed using a markup language and the database statement can be expressed using a query language.

Abstract: The present approach improves the query performance of a database in a manner that is transparent to a user. In one aspect, this approach creates separate partition tables that are not directly accessible to a user of the database. A client-facing aspect of the database is a logical model which may correspond to a single, main table with which the user interacts. Thus, queries or operations may be generated on the client side in the context of the logical model. A database or query layer can then, transparent to the user, translate the user generated requests into query language that addresses the proper partitions to generate a result set or otherwise perform a database operation.

Abstract: The present approach improves the query performance of a database in a manner that is transparent to a user. In one aspect, this approach creates separate partition tables that are not directly accessible to a user of the database. A client-facing aspect of the database is a logical model which may correspond to a single, main table with which the user interacts. Thus, queries or operations may be generated on the client side in the context of the logical model. A database or query layer can then, transparent to the user, translate the user generated requests into query language that addresses the proper partitions to generate a result set or otherwise perform a database operation.

Abstract: The present approach assigns a code to each node class of a data tree modeling a database. The node class codes may be used to generate a node class path for each node class. This class path may be used as a discriminator to reference a given node class or portion of the tree including the class path and may be stored in a field of the database and/or cached. Use of the class path in query operations reduces the complexity of certain queries, thereby speeding up query performance.

Abstract: The present approach assigns a code to each node class of a data tree modeling a database. The node class codes may be used to generate a node class path for each node class. This class path may be used as a discriminator to reference a given node class or portion of the tree including the class path and may be stored in a field of the database and/or cached. Use of the class path in query operations reduces the complexity of certain queries, thereby speeding up query performance.

Abstract: Altering a database structure based on software updates in a distributed computing system can include identifying a plurality of software updates that include alterations to structural elements in the database structure and identifying, for the plurality of software updates, a plurality of alterations corresponding to a first structural element of the structural elements. A combined alteration can be generated by combining the plurality of alterations. A database statement can be generated for altering the first structural element according to the combined alteration. The database structure can then be updated using the database statement. The structural elements can define logical relationships between data stored in the database structure. The alterations can be expressed using a markup language and the database statement can be expressed using a query language.

Abstract: The present approach improves the query performance of a database in a manner that is transparent to a user. In one aspect, this approach creates separate partition tables that are not directly accessible to a user of the database. A client-facing aspect of the database is a logical model which may correspond to a single, main table with which the user interacts. Thus, queries or operations may be generated on the client side in the context of the logical model. A database or query layer can then, transparent to the user, translate the user generated requests into query language that addresses the proper partitions to generate a result set or otherwise perform a database operation.

Abstract: Altering a database structure based on software updates in a distributed computing system can include identifying a plurality of software updates that include alterations to structural elements in the database structure and identifying, for the plurality of software updates, a plurality of alterations corresponding to a first structural element of the structural elements. A combined alteration can be generated by combining the plurality of alterations. A database statement can be generated for altering the first structural element according to the combined alteration. The database structure can then be updated using the database statement. The structural elements can define logical relationships between data stored in the database structure. The alterations can be expressed using a markup language and the database statement can be expressed using a query language.

Abstract: The present approach improves the query performance of a database in a manner that is transparent to a user. In one aspect, this approach creates separate partition tables that are not directly accessible to a user of the database. A client-facing aspect of the database is a logical model which may correspond to a single, main table with which the user interacts. Thus, queries or operations may be generated on the client side in the context of the logical model. A database or query layer can then, transparent to the user, translate the user generated requests into query language that addresses the proper partitions to generate a result set or otherwise perform a database operation.

Abstract: The present approach improves the query performance of a database in a manner that is transparent to a user. In one aspect, this approach creates separate partition tables that are not directly accessible to a user of the database. A client-facing aspect of the database is a logical model which may correspond to a single, main table with which the user interacts. Thus, queries or operations may be generated on the client side in the context of the logical model. A database or query layer can then, transparent to the user, translate the user generated requests into query language that addresses the proper partitions to generate a result set or otherwise perform a database operation.

Abstract: The present approach improves the query performance of a database in a manner that is transparent to a user. In one aspect, this approach creates separate partition tables that are not directly accessible to a user of the database. A client-facing aspect of the database is a logical model which may correspond to a single, main table with which the user interacts. Thus, queries or operations may be generated on the client side in the context of the logical model. A database or query layer can then, transparent to the user, translate the user generated requests into query language that addresses the proper partitions to generate a result set or otherwise perform a database operation.

Abstract: The present approach assigns a code to each node class of a data tree modeling a database. The node class codes may be used to generate a node class path for each node class. This class path may be used as a discriminator to reference a given node class or portion of the tree including the class path and may be stored in a field of the database and/or cached. Use of the class path in query operations reduces the complexity of certain queries, thereby speeding up query performance.